Facilitation of value-based sorting of objects

ABSTRACT

This disclosure comprises a solution that can sort objects based on values under various circumstances for the purpose of grouping objects and determining recommended placement or disposition of the objects. An object can be assigned a monetary value, a sentimental value, and a practical value. The practical value can be entered individually for the object via the web or virtual assistant access to the object inventory. The practical value can also be estimated via sensors on or proximate to the object that can sense activity related to the object.

TECHNICAL FIELD

This disclosure relates generally to facilitating sorting of objects.For example, this disclosure relates to facilitating value-based sortingof personal objects.

BACKGROUND

An online marketplace (or online e-commerce marketplace) is a type ofe-commerce site where product or service information is provided bymultiple third parties, whereas transactions are processed by themarketplace operator. Online marketplaces are the primary type ofmultichannel ecommerce and can be a way to streamline the productionprocess. In an online marketplace, consumer transactions are processedby the marketplace operator and then delivered and fulfilled by theparticipating retailers or wholesalers (often called drop shipping).Other capabilities might include auctioning (forward or reverse),catalogs, ordering, wanted advertisement, or trading exchangefunctionality and capabilities. These type of sites allow users toregister and sell single items to many items for a “post-selling” fee.In general, because marketplaces aggregate products from a wide array ofproviders, selection is usually more wide, and availability is higherthan in vendor-specific online retail stores.

The above-described background relating to facilitation of value-basedsorting of objects is merely intended to provide a contextual overviewof some current issues, and is not intended to be exhaustive. Othercontextual information may become further apparent upon review of thefollowing detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosureare described with reference to the following figures, wherein likereference numerals refer to like parts throughout the various viewsunless otherwise specified.

FIG. 1 illustrates an example wireless communication system in which anetwork node device (e.g., network node) and user equipment (UE) canimplement various aspects and embodiments of the subject disclosure.

FIG. 2 illustrates an example schematic system block diagram of a systemfor value-based sorting of objects according to one or more embodiments.

FIG. 3 illustrates an example schematic system block diagram of a mobiledevice screen for value-based sorting of objects according to one ormore embodiments.

FIG. 4 illustrates an example schematic system block diagram of a mobiledevice screen for value-based sorting of objects according to one ormore embodiments.

FIG. 5 illustrates an example schematic system block diagram of a mobiledevice screen for value-based sorting of objects according to one ormore embodiments.

FIG. 6 illustrates an example flow diagram for a method for facilitationof value-based sorting of objects according to one or more embodiments.

FIG. 7 illustrates an example flow diagram for a system for facilitationof value-based sorting of objects according to one or more embodiments.

FIG. 8 illustrates an example flow diagram for a machine-readable mediumfor facilitation of value-based sorting of objects according to one ormore embodiments.

FIG. 9 illustrates an example block diagram of an example mobile handsetoperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

FIG. 10 illustrates an example block diagram of an example computeroperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

DETAILED DESCRIPTION

In the following description, numerous specific details are set forth toprovide a thorough understanding of various embodiments. One skilled inthe relevant art will recognize, however, that the techniques describedherein can be practiced without one or more of the specific details, orwith other methods, components, materials, etc. In other instances,well-known structures, materials, or operations are not shown ordescribed in detail to avoid obscuring certain aspects.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics may be combined in any suitable manner in one or moreembodiments.

As utilized herein, terms “component,” “system,” “interface,” and thelike are intended to refer to a computer-related entity, hardware,software (e.g., in execution), and/or firmware. For example, a componentcan be a processor, a process running on a processor, an object, anexecutable, a program, a storage device, and/or a computer. By way ofillustration, an application running on a server and the server can be acomponent. One or more components can reside within a process, and acomponent can be localized on one computer and/or distributed betweentwo or more computers.

Further, these components can execute from various machine-readablemedia having various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, a local areanetwork, a wide area network, etc. with other systems via the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. As yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can include one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components. In an aspect, a componentcan emulate an electronic component via a virtual machine, e.g., withina cloud computing system.

The words “exemplary” and/or “demonstrative” are used herein to meanserving as an example, instance, or illustration. For the avoidance ofdoubt, the subject matter disclosed herein is not limited by suchexamples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that theterms “includes,” “has,” “contains,” and other similar words are used ineither the detailed description or the claims, such terms are intendedto be inclusive—in a manner similar to the term “comprising” as an opentransition word—without precluding any additional or other elements.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationschemes and/or systems (e.g., support vector machines, neural networks,expert systems, Bayesian belief networks, fuzzy logic, and data fusionengines) can be employed in connection with performing automatic and/orinferred action in connection with the disclosed subject matter.

In addition, the disclosed subject matter can be implemented as amethod, apparatus, or article of manufacture using standard programmingand/or engineering techniques to produce software, firmware, hardware,or any combination thereof to control a computer to implement thedisclosed subject matter. The term “article of manufacture” as usedherein is intended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, or machine-readable media. Forexample, computer-readable media can include, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media.

As an overview, various embodiments are described herein to facilitatevalue-based sorting of objects. For simplicity of explanation, themethods (or algorithms) are depicted and described as a series of acts.It is to be understood and appreciated that the various embodiments arenot limited by the acts illustrated and/or by the order of acts. Forexample, acts can occur in various orders and/or concurrently, and withother acts not presented or described herein. Furthermore, not allillustrated acts may be required to implement the methods. In addition,the methods could alternatively be represented as a series ofinterrelated states via a state diagram or events. Additionally, themethods described hereafter are capable of being stored on an article ofmanufacture (e.g., a machine-readable storage medium) to facilitatetransporting and transferring such methodologies to computers. The termarticle of manufacture, as used herein, is intended to encompass acomputer program accessible from any computer-readable device, carrier,or media, including a non-transitory machine-readable storage medium.

It should be noted that although various aspects and embodiments havebeen described herein in the context of 5G, Universal MobileTelecommunications System (UMTS), and/or Long Term Evolution (LTE), orother next generation networks, the disclosed aspects are not limited to5G, a UMTS implementation, and/or an LTE implementation as thetechniques can also be applied in 3G, 4G or LTE systems. For example,aspects or features of the disclosed embodiments can be exploited insubstantially any wireless communication technology. Such wirelesscommunication technologies can include UMTS, Code Division MultipleAccess (CDMA), Wi-Fi, Worldwide Interoperability for Microwave Access(WiMAX), General Packet Radio Service (GPRS), Enhanced GPRS, ThirdGeneration Partnership Project (3GPP), LTE, Third Generation PartnershipProject 2 (3GPP2) Ultra Mobile Broadband (UMB), High Speed Packet Access(HSPA), Evolved High Speed Packet Access (HSPA+), High-Speed DownlinkPacket Access (HSDPA), High-Speed Uplink Packet Access (HSUPA), Zigbee,or another IEEE 802.12 technology. Additionally, substantially allaspects disclosed herein can be exploited in legacy telecommunicationtechnologies.

Described herein are systems, methods, articles of manufacture, andother embodiments or implementations that can facilitate value-basedsorting of objects. Facilitating value-based sorting of objects can beimplemented in connection with any type of device with a connection tothe communications network (e.g., a mobile handset, a computer, ahandheld device, etc.) any Internet of things (IOT) device (e.g.,toaster, coffee maker, blinds, music players, speakers, etc.), and/orany connected vehicles (cars, airplanes, space rockets, and/or other atleast partially automated vehicles (e.g., drones)). In some embodimentsthe non-limiting term user equipment (UE) is used. It can refer to anytype of wireless device that communicates with a radio network node in acellular or mobile communication system. Examples of UE are targetdevice, device to device (D2D) UE, machine type UE or UE capable ofmachine to machine (M2M) communication, PDA, Tablet, mobile terminals,smart phone, laptop embedded equipped (LEE), laptop mounted equipment(LME), USB dongles etc. Note that the terms element, elements andantenna ports can be interchangeably used but carry the same meaning inthis disclosure. The embodiments are applicable to single carrier aswell as to multicarrier (MC) or carrier aggregation (CA) operation ofthe UE. The term carrier aggregation (CA) is also called (e.g.interchangeably called) “multi-carrier system”, “multi-cell operation”,“multi-carrier operation”, “multi-carrier” transmission and/orreception.

In some embodiments the non-limiting term radio network node or simplynetwork node is used. It can refer to any type of network node thatserves UE is connected to other network nodes or network elements or anyradio node from where UE receives a signal. Examples of radio networknodes are Node B, base station (BS), multi-standard radio (MSR) nodesuch as MSR BS, eNode B, network controller, radio network controller(RNC), base station controller (BSC), relay, donor node controllingrelay, base transceiver station (BTS), access point (AP), transmissionpoints, transmission nodes, RRU, RRH, nodes in distributed antennasystem (DAS) etc.

Cloud radio access networks (RAN) can enable the implementation ofconcepts such as software-defined network (SDN) and network functionvirtualization (NFV) in 5G networks. Certain embodiments of thisdisclosure can comprise an SDN controller that can control routing oftraffic within the network and between the network and trafficdestinations. The SDN controller can be merged with the 5G networkarchitecture to enable service deliveries via open applicationprogramming interfaces (“APIs”) and move the network core towards an allinternet protocol (“IP”), cloud based, and software driventelecommunications network. The SDN controller can work with, or takethe place of policy and charging rules function (“PCRF”) networkelements so that policies such as quality of service and trafficmanagement and routing can be synchronized and managed end to end.

This disclosure comprises a solution that describes a means for sortingobjects (e.g., physical objects, items, etc.) based on values undervarious circumstances for the purpose of grouping objects anddetermining recommended placement or disposition of objects. Using thesetechniques, an object can be assigned a monetary value and a sentimentalvalue. There can also be assigned a practical value to an object. Thepractical value can be entered individually for the object via the webor virtual assistant access to the object inventory. The practical valuecan also be estimated via sensors on or proximate to the object that cansense activity related to the object. For instance, the object can havea motion sensor, a pressure sensor, or can maintain its own record ofits usage, for instance if it contains electronic components.

For example, artwork can sense motion nearby and use that data as arecord of how often it is in view, as a proxy for practical value. Oneor more sensors can sense how often a chair is moved or sat upon andlikewise use that data as a proxy for practical value. A coffee makercan maintain a record of how much it is used over time. Any number ofalgorithms can be used to set the practical values, for instance intohigh, medium, or low categories.

The object inventory can store a monetary, sentimental, and practicalvalue for a number of objects. These objects can, for instance representthe contents of a dwelling. It can be useful for the collection ofobjects to be sorted into disposition categories that representrecommended dispositions for each object. This can be useful when theowner of the objects is making decisions on whether to keep, sell,donate, or trash some or all of the collection of objects. For example,the owner of the objects may wish to do a “spring cleaning” to sortitems to keep, sell, donate, or trash. A number of algorithms can beused to determine how to map values to disposition categories. Forexample, Aunt Rose's chair can have a high sentimental value, which canoverride the monetary and practical values and sort it into the “keep”category. A Banksy print can have low sentimental and practical values,but a medium monetary value, indicating a category of “sell”. The coffeemaker's high practical value and low monetary value can be an indicationto sort it into the “keep” category.

The owner may wish to have a report of the collection, or a subset ofthe collection of objects. This can be helpful for the “spring cleaning”project. In this case, the valuation and sorting server can generatethis report based on the sorting category that it calculates for theobjects using their monetary, sentimental, and practical values. Theowner can be presented with the report, for instance, via the web accessinterface, and confirm the list of objects in each category or make anyoverriding changes. Once the final list is confirmed, for the objects inthe “sell” category, the valuation and sorting server can use the datafor the object in the object inventory and an API to the onlinemarketplace to generate listings of the objects for sale. Similarly, areport containing a list of items recommended for donation can begenerated by the valuation and sorting server. This list can be used toconfirm what is donated and be useful for tax credits. Items that aresold or donated can be removed from the object inventory.

The owner can be moving their dwelling. In this case, they can firstsort into the “keep”, “sell”, “donate”, or “trash” categories.Afterwards, they can again request the valuation and sorting server tomake moving recommendations. The valuation and sorting server can accessa database containing a floorplan of the new dwelling, including spatialdimensions. The valuation and sorting server also has access to thelocation history of the objects from the object inventory (includingwhat room the object existed in in the old dwelling). The owner canspecify a default mapping of old house room to new house room. Forinstance, old dining room objects should try to fit in the new diningroom. Old foyer objects should try to fit in the new den. The valuationand sorting server can make estimates as to whether the objects will fitin the new rooms. This can be based on the spatial dimensions of theobjects (from the object inventory data) and the spatial dimension ofthe new rooms. For instance, the results can determine that the diningroom furniture cannot fit in the new dining room with sufficient space.Note that this analysis can also be used before the owner buys the newhouse to assess whether their furniture will fit.

If an object will not fit in the new house, the report can recommend aresolution. For instance, if the coffee maker's dimensions are too tallto fit under the cabinets in the new kitchen, the valuation and sortingserver can access the online marketplace using the dimension of the newhouse to find a recommended new coffee maker that would fit. The ownercan be prompted via the web access to the report as to whether they wantto sell or donate the old coffee maker and whether they want to purchasethe recommended new coffee maker. If the owner wishes to purchase, thevaluation and sorting server can execute the purchase via the onlinemarketplace API.

The valuation and sorting server can act proactively on behalf of theowner. For instance, it can periodically access the contents of theobject inventory for the owner and use the object IDs to search one ormore online marketplaces. The online marketplace(s) can return data tothe valuation and sorting server that indicates how in demand the objectis in the marketplace. This can be determined using data such as numberof searches for the object, number of views of the object, and number ofsales of the object. The returned data can also indicate an averageselling price for the object in its condition (as indicated in theobject inventory data). This resulting insight into the marketplacedemand for the object can enable the owner to make a more informeddecision about the disposition of an object. For example, if Aunt Rose'schair is recommended to be kept due to its high sentimental value, ifsimilar chairs are found to be selling for $10,000 in the marketplace,the owner may wish to reconsider.

The valuation and sorting server can proactively alert the owner ofobjects that can have monetary value but have low practical and/orsentimental value. For instance, the Banksy print can have been storedin a dark closet for the past 3 years (as determined by light andlocation sensors). Such objects that have not seen the light of day foran extended period of time can be prime candidates to check for theirvalue as a potential hidden treasure. The valuation and sorting servercan periodically search for a monetary value via the online marketplaceand alert the owner if anything of a predetermined threshold value orhigher is found. Similarly, the owner can be reminded of such via analert of objects with high sentimental value that have had low practicalvalue (e.g., as determined via low motion sensor activity or low lightsensor levels). The owner can also use the object inventory data toproactively search for sentimental objects, for instance, in response toan event. For example, if Aunt Rose passes away, the owner can searchfor all objects that show Aunt Rose as a prior owner in the objectinventory data.

It should also be noted that an artificial intelligence (AI) componentcan facilitate automating one or more features in accordance with thedisclosed aspects. A memory and a processor as well as other componentscan include functionality with regard to the figures. The disclosedaspects in connection with value-based sorting of objects can employvarious AI-based schemes for carrying out various aspects thereof. Forexample, a process for detecting one or more trigger events, reducing avalue of an object as a result of the one or more trigger events, andmodifying one or more reported measurements, and so forth, can befacilitated with an example automatic classifier system and process. Inanother example, a process for penalizing one valuation while preferringanother valuation can be facilitated with the example automaticclassifier system and process.

An example classifier can be a function that maps an input attributevector, x=(x1, x2, x3, x4, xn), to a confidence that the input belongsto a class, that is, f(x)=confidence(class). Such classification canemploy a probabilistic and/or statistical-based analysis (e.g.,factoring into the analysis utilities and costs) to prognose or infer anaction that can be automatically performed.

A support vector machine (SVM) is an example of a classifier that can beemployed. The SVM can operate by finding a hypersurface in the space ofpossible inputs, which the hypersurface attempts to split the triggeringcriteria from the non-triggering events. Intuitively, this makes theclassification correct for testing data that is near, but not identicalto training data. Other directed and undirected model classificationapproaches include, for example, naïve Bayes, Bayesian networks,decision trees, neural networks, fuzzy logic models, and probabilisticclassification models providing different patterns of independence canbe employed. Classification as used herein also may be inclusive ofstatistical regression that is utilized to develop models of priority.

The disclosed aspects can employ classifiers that are explicitly trained(e.g., via a generic training data) as well as implicitly trained (e.g.,via observing mobile device usage as it relates to triggering events,observing network frequency/technology, receiving extrinsic information,and so on). For example, SVMs can be configured via a learning ortraining phase within a classifier constructor and feature selectionmodule. Thus, the classifier(s) can be used to automatically learn andperform a number of functions, including but not limited to modifying avalue to be output, modifying one or more reported values, and so forth.The criteria can include, but is not limited to, predefined values,frequency attenuation tables or other parameters, service providerpreferences and/or policies, and so on.

In one embodiment, described herein is a method comprising receiving, bya server device comprising a processor, a first signal from a wirelessnetwork, the first signal representative of first object identificationdata of an identification of an object in a set of objects. The methodcan comprise receiving, by the server device, a second signal from awireless network, the second signal representative of utilization dataassociated with a utilization of the object. In response to receivingthe second signal, the method can comprise generating, by the serverdevice, practical value data representative of a practical valueassociated with the object. Based on the practical value data, themethod can comprise selecting, by the server device, the first objectidentification data from second object identification datarepresentative of the set of objects. Additionally, in response to theselecting, the method can comprise sending, by the server device via awireless network, a third signal representative of the practical valuedata to a mobile device based on a result of the selecting.

According to another embodiment, a system can facilitate receiving firstobject identification data representative of an identification of anobject of a group of objects. The system can comprise receivingutilization data representative of a utilization of the object. Based onthe utilization data, the system can comprise generating, according to avaluation process, value data representative of a value associated withthe object. Additionally, based on the value data, the system cancomprise categorizing the first object identification data with secondobject identification data representative of the group of objects,resulting in a defined category. Furthermore, in response to thecategorizing, the system can comprise sending defined category datarepresentative of the defined category to a mobile device.

According to yet another embodiment, described herein is amachine-readable medium that can perform the operations comprisingreceiving first object identification data representative of anidentification of an object of a group of objects. The machine-readablemedium can perform the operations comprising receiving utilization datarepresentative of a utilization of the object. The machine-readablemedium can perform the operations comprising receiving dimension datarepresentative of a physical dimension of the object. Based on theutilization data, the machine-readable medium can perform the operationscomprising generating value data representative of a value associatedwith the object. Based on the value data and the dimension data, themachine-readable medium can perform the operations comprising labelingthe first object identification data, resulting in labeled datarepresentative of the object. Furthermore, in response to the labeling,the machine-readable medium can perform the operations comprising,sending labeled data to a mobile device.

These and other embodiments or implementations are described in moredetail below with reference to the drawings.

Referring now to FIG. 1, illustrated is an example wirelesscommunication system 100 in accordance with various aspects andembodiments of the subject disclosure. In one or more embodiments,system 100 can comprise one or more user equipment UEs 102. Thenon-limiting term user equipment can refer to any type of device thatcan communicate with a network node in a cellular or mobilecommunication system. A UE can have one or more antenna panels havingvertical and horizontal elements. Examples of a UE comprise a targetdevice, device to device (D2D) UE, machine type UE or UE capable ofmachine to machine (M2M) communications, personal digital assistant(PDA), tablet, mobile terminals, smart phone, laptop mounted equipment(LME), universal serial bus (USB) dongles enabled for mobilecommunications, a computer having mobile capabilities, a mobile devicesuch as cellular phone, a laptop having laptop embedded equipment (LEE,such as a mobile broadband adapter), a tablet computer having a mobilebroadband adapter, a wearable device, a virtual reality (VR) device, aheads-up display (HUD) device, a smart car, a machine-type communication(MTC) device, and the like. User equipment UE 102 can also comprise IOTdevices that communicate wirelessly.

In various embodiments, system 100 is or comprises a wirelesscommunication network serviced by one or more wireless communicationnetwork providers. In example embodiments, a UE 102 can becommunicatively coupled to the wireless communication network via anetwork node 104. The network node (e.g., network node device) cancommunicate with user equipment (UE), thus providing connectivitybetween the UE and the wider cellular network. The UE 102 can sendtransmission type recommendation data to the network node 104. Thetransmission type recommendation data can comprise a recommendation totransmit data via a closed loop MIMO mode and/or a rank-1 precoder mode.

A network node can have a cabinet and other protected enclosures, anantenna mast, and multiple antennas for performing various transmissionoperations (e.g., MIMO operations). Network nodes can serve severalcells, also called sectors, depending on the configuration and type ofantenna. In example embodiments, the UE 102 can send and/or receivecommunication data via a wireless link to the network node 104. Thedashed arrow lines from the network node 104 to the UE 102 representdownlink (DL) communications and the solid arrow lines from the UE 102to the network nodes 104 represents an uplink (UL) communication.

System 100 can further include one or more communication serviceprovider networks 106 that facilitate providing wireless communicationservices to various UEs, including UE 102, via the network node 104and/or various additional network devices (not shown) included in theone or more communication service provider networks 106. The one or morecommunication service provider networks 106 can include various types ofdisparate networks, including but not limited to: cellular networks,femto networks, picocell networks, microcell networks, internet protocol(IP) networks Wi-Fi service networks, broadband service network,enterprise networks, cloud based networks, and the like. For example, inat least one implementation, system 100 can be or include a large scalewireless communication network that spans various geographic areas.According to this implementation, the one or more communication serviceprovider networks 106 can be or include the wireless communicationnetwork and/or various additional devices and components of the wirelesscommunication network (e.g., additional network devices and cell,additional UEs, network server devices, etc.). The network node 104 canbe connected to the one or more communication service provider networks106 via one or more backhaul links 108. For example, the one or morebackhaul links 108 can comprise wired link components, such as a T1/E1phone line, a digital subscriber line (DSL) (e.g., either synchronous orasynchronous), an asymmetric DSL (ADSL), an optical fiber backbone, acoaxial cable, and the like. The one or more backhaul links 108 can alsoinclude wireless link components, such as but not limited to,line-of-sight (LOS) or non-LOS links which can include terrestrialair-interfaces or deep space links (e.g., satellite communication linksfor navigation).

Wireless communication system 100 can employ various cellular systems,technologies, and modulation modes to facilitate wireless radiocommunications between devices (e.g., the UE 102 and the network node104). While example embodiments might be described for 5G new radio (NR)systems, the embodiments can be applicable to any radio accesstechnology (RAT) or multi-RAT system where the UE operates usingmultiple carriers e.g. LTE FDD/TDD, GSM/GERAN, CDMA2000 etc.

For example, system 100 can operate in accordance with global system formobile communications (GSM), universal mobile telecommunications service(UMTS), long term evolution (LTE), LTE frequency division duplexing (LTEFDD, LTE time division duplexing (TDD), high speed packet access (HSPA),code division multiple access (CDMA), wideband CDMA (WCMDA), CDMA2000,time division multiple access (TDMA), frequency division multiple access(FDMA), multi-carrier code division multiple access (MC-CDMA),single-carrier code division multiple access (SC-CDMA), single-carrierFDMA (SC-FDMA), orthogonal frequency division multiplexing (OFDM),discrete Fourier transform spread OFDM (DFT-spread OFDM) single carrierFDMA (SC-FDMA), Filter bank based multi-carrier (FBMC), zero tailDFT-spread-OFDM (ZT DFT-s-OFDM), generalized frequency divisionmultiplexing (GFDM), fixed mobile convergence (FMC), universal fixedmobile convergence (UFMC), unique word OFDM (UW-OFDM), unique wordDFT-spread OFDM (UW DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like. However,various features and functionalities of system 100 are particularlydescribed wherein the devices (e.g., the UEs 102 and the network device104) of system 100 are configured to communicate wireless signals usingone or more multi carrier modulation schemes, wherein data symbols canbe transmitted simultaneously over multiple frequency subcarriers (e.g.,OFDM, CP-OFDM, DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments areapplicable to single carrier as well as to multicarrier (MC) or carrieraggregation (CA) operation of the UE. The term carrier aggregation (CA)is also called (e.g. interchangeably called) “multi-carrier system”,“multi-cell operation”, “multi-carrier operation”, “multi-carrier”transmission and/or reception. Note that some embodiments are alsoapplicable for Multi RAB (radio bearers) on some carriers (that is dataplus speech is simultaneously scheduled).

In various embodiments, system 100 can be configured to provide andemploy 5G wireless networking features and functionalities. 5G wirelesscommunication networks are expected to fulfill the demand ofexponentially increasing data traffic and to allow people and machinesto enjoy gigabit data rates with virtually zero latency. Compared to 4G,5G supports more diverse traffic scenarios. For example, in addition tothe various types of data communication between conventional UEs (e.g.,phones, smartphones, tablets, PCs, televisions, Internet enabledtelevisions, etc.) supported by 4G networks, 5G networks can be employedto support data communication between smart cars in association withdriverless car environments, as well as machine type communications(MTCs). Considering the drastic different communication needs of thesedifferent traffic scenarios, the ability to dynamically configurewaveform parameters based on traffic scenarios while retaining thebenefits of multi carrier modulation schemes (e.g., OFDM and relatedschemes) can provide a significant contribution to the highspeed/capacity and low latency demands of 5G networks. With waveformsthat split the bandwidth into several sub-bands, different types ofservices can be accommodated in different sub-bands with the mostsuitable waveform and numerology, leading to an improved spectrumutilization for 5G networks.

To meet the demand for data centric applications, features of proposed5G networks may comprise: increased peak bit rate (e.g., 20 Gbps),larger data volume per unit area (e.g., high system spectralefficiency—for example about 3.5 times that of spectral efficiency oflong term evolution (LTE) systems), high capacity that allows moredevice connectivity both concurrently and instantaneously, lowerbattery/power consumption (which reduces energy and consumption costs),better connectivity regardless of the geographic region in which a useris located, a larger numbers of devices, lower infrastructuraldevelopment costs, and higher reliability of the communications. Thus,5G networks may allow for: data rates of several tens of megabits persecond should be supported for tens of thousands of users, 1 gigabit persecond to be offered simultaneously to tens of workers on the sameoffice floor, for example; several hundreds of thousands of simultaneousconnections to be supported for massive sensor deployments; improvedcoverage, enhanced signaling efficiency; reduced latency compared toLTE.

The upcoming 5G access network may utilize higher frequencies (e.g., >6GHz) to aid in increasing capacity. Currently, much of the millimeterwave (mmWave) spectrum, the band of spectrum between 30 gigahertz (Ghz)and 300 Ghz is underutilized. The millimeter waves have shorterwavelengths that range from 10 millimeters to 1 millimeter, and thesemmWave signals experience severe path loss, penetration loss, andfading. However, the shorter wavelength at mmWave frequencies alsoallows more antennas to be packed in the same physical dimension, whichallows for large-scale spatial multiplexing and highly directionalbeamforming.

Performance can be improved if both the transmitter and the receiver areequipped with multiple antennas. Multi-antenna techniques cansignificantly increase the data rates and reliability of a wirelesscommunication system. The use of multiple input multiple output (MIMO)techniques, which was introduced in the third-generation partnershipproject (3GPP) and has been in use (including with LTE), is amulti-antenna technique that can improve the spectral efficiency oftransmissions, thereby significantly boosting the overall data carryingcapacity of wireless systems. The use of multiple-input multiple-output(MIMO) techniques can improve mmWave communications, and has been widelyrecognized a potentially important component for access networksoperating in higher frequencies. MIMO can be used for achievingdiversity gain, spatial multiplexing gain and beamforming gain. Forthese reasons, MIMO systems are an important part of the 3rd and 4thgeneration wireless systems, and are planned for use in 5G systems.

Referring now to FIG. 2, illustrated is an example schematic systemblock diagram of a system for value-based sorting of objects accordingto one or more embodiments.

A monetary value can be assigned to object 202A, 202B, 202C in theobject inventory repository 210. This value can also be stored in theobject inventory. The monetary value can be calculated by the valuationand sorting server 208. The monetary value can be calculated by usingthe purchase price and purchase date and applying an appreciation ordepreciation factor. Alternatively, a separate reference valuation canbe used, such as an online marketplace 402 that is selling the item, andcomparing new/used conditions of objects 202A, 202B, 202C with theonline marketplace 404. For instance, the valuation and sorting server208 can use the object ID and condition to query the online marketplace404 to search for other similar items in similar condition. More thanone marketplace can be queried by the UE 102 or the valuation andsorting server 208. The prices from the resulting matches can beaveraged and this result can be used to calculate and record a monetaryvalue for the object, which can then be stored in the object inventoryrepository 210.

A sentimental value can also be calculated by the valuation and sortingserver 208 and stored in the object inventory repository 210. Data inthe object inventory can be used to calculate a valuation level to serveas a proxy for a sentimental value. Data such as location, whenobtained, parties present when obtained, prior owners, location history,and “light of day” history can contribute to the calculation of asentimental value. For instance, the chair can be obtained by an ownerat a location that can be mapped to an address, which can be assigned ahigh sentimental value (e.g., a beloved aunt's house). The date theobject was obtained can be compared (by the valuation and sorting server208) against the owner's calendar, which can be accessible by thevaluation and sorting server 208 and can be determined to be within awindow of time around a significant event on the calendar. Therefore,the chair can be assigned a high sentimental value. Similarly, asentimental value can also be calculated by the valuation and sortingserver 208 and stored in the object inventory repository 210 using otherdata.

Referring now to FIG. 3, illustrated is an example schematic systemblock diagram of a mobile device screen for value-based sorting ofobjects according to one or more embodiments.

The owner of objects 202A, 202B, 202C may wish to have a report of thecollection, or a subset of the collection of objects. Thus, the ownercan send a report inquiry via the UE 102 to the cloud-based network 206to receive report data from the valuation and sorting server 208. Inthis case, the valuation and sorting server 208 can generate this reportbased on the sorting category that it calculates for the objects usingtheir monetary, sentimental, and/or practical values. The owner can bepresented with the report via a display screen of the UE 102. The ownercan confirm the list of objects in each category or make any overridingchanges via the UE 102. Once the final list is confirmed, for theobjects in the “sell” category, the valuation and sorting server can usethe data for the object in the object inventory repository 210 and anAPI to the online marketplace 402 to generate listings of the objectsfor sale. Similarly, a report containing a list of items recommended fordonation can be generated by the valuation and sorting server 208. Thislist can be used to confirm what is donated and can be useful for taxcredits. Items that are sold or donated can be removed from the objectinventory repository 210.

Referring now to FIG. 4, illustrated is an example schematic systemblock diagram of a mobile device screen for value-based sorting ofobjects according to one or more embodiments.

As depicted via display screen of UE 102 in FIG. 4, the valuation andsorting server 208 can provide move recommendations. The owner can bemoving their dwelling. In this case, they can first sort into the“keep”, “sell”, “donate”, or “trash” categories. Afterwards, they canagain request the valuation and sorting server 208 to make movingrecommendations. The valuation and sorting server 208 can access adatabase (not shown) containing a floorplan of the new dwelling,including spatial dimensions. The valuation and sorting server 208 alsohave access to the location history of the objects 202A, 202B, 202C fromthe object inventory repository 210 (including what room the objectexisted in in the old dwelling). In response to the owner can specifyinga default mapping of old house room to new house room the valuation andsorting server 208 can make estimates as to whether the objects 202A,202B, 202C will fit in the new rooms. This can be based on the spatialdimensions of the objects (from the object inventory data) and thespatial dimension of the new rooms. Based on the analysis performed bythe valuation and sorting server 208, the owner can be presented withmoving recommendations as depicted in FIG. 4 via the display screen ofUE 102. Thus, the valuation and sorting server 208 can access the onlinemarketplace 402 using the dimension of the new house. Furthermore, theowner can be prompted, via the UE 102, as to whether they want to sellor donate the any objects 202A, 202B, 202C and/or whether they want topurchase a recommended object. If the owner wishes to purchase, thevaluation and sorting server 208 can execute the purchase via the onlinemarketplace 402 application program interface (API).

Referring now to FIG. 5 illustrates an example schematic system blockdiagram of a mobile device screen for value-based sorting of objectsaccording to one or more embodiments.

The valuation and sorting server 208 can act proactively on behalf ofthe owner. For instance, it can periodically access the contents of theobject inventory repository 210 for the owner and use the object IDs tosearch one or more online marketplaces 402. The online marketplace(s)402 can return data to the valuation and sorting server 208 thatindicates how in demand the object is in the marketplace. The returneddata can also indicate an average selling price for the object in itscondition, and a demand for the object can enable the owner to make amore informed decision about the disposition of an object.

The valuation and sorting server 208 can also proactively alert theowner of objects that can have monetary value but have low practicaland/or sentimental value. For instance, the Banksy print can have beenstored in a dark closet for the past 3 years (as determined by light andlocation sensors). The valuation and sorting server 208 can periodicallysearch for a monetary value via the online marketplace 402 and alert theowner if anything of a predetermined threshold value or higher is found.Similarly, the owner can be reminded objects with high sentimental valuethat have had low practical value (e.g., as determined via low motionsensor activity or low light sensor levels) via the display screen ofthe UE 102.

Referring now to FIG. 6, illustrated is an example flow diagram for amethod for facilitation of value-based sorting of objects according toone or more embodiments. At element 600, the method can comprisereceiving, by a server device comprising a processor, a first signalfrom a wireless network, the first signal representative of first objectidentification data of an identification of an object in a set ofobjects. At element 602, the method can comprise receiving, by theserver device, a second signal from a wireless network, the secondsignal representative of utilization data associated with a utilizationof the object. In response to receiving the second signal, at element604, the method can comprise generating, by the server device, practicalvalue data representative of a practical value associated with theobject. Based on the practical value data, at element 606, the methodcan comprise selecting, by the server device, the first objectidentification data from second object identification datarepresentative of the set of objects. Additionally, in response to theselecting, at element 608, the method can comprise sending, by theserver device via a wireless network, a third signal representative ofthe practical value data to a mobile device based on a result of theselecting.

Referring now to FIG. 7, illustrated is an example flow diagram for asystem for facilitation of value-based sorting of objects according toone or more embodiments. At element 700, the system can facilitatereceiving first object identification data representative of anidentification of an object of a group of objects. At element 702, thesystem can comprise receiving utilization data representative of autilization of the object. Based on the utilization data, at element704, the system can comprise generating, according to a valuationprocess, value data representative of a value associated with theobject. Additionally, based on the value data, at element 706, thesystem can comprise categorizing the first object identification datawith second object identification data representative of the group ofobjects, resulting in a defined category. Furthermore, in response tothe categorizing, at element 708, the system can comprise sendingdefined category data representative of the defined category to a mobiledevice.

Referring now to FIG. 8, illustrated is an example flow diagram for amachine-readable medium for facilitation of value-based sorting ofobjects according to one or more embodiments. At element 800, themachine-readable medium can perform the operations comprising receivingfirst object identification data representative of an identification ofan object of a group of objects. At element 802, the machine-readablemedium can perform the operations comprising receiving utilization datarepresentative of a utilization of the object. At element 804, themachine-readable medium can perform the operations comprising receivingdimension data representative of a physical dimension of the object.Based on the utilization data, at element 806, the machine-readablemedium can perform the operations comprising generating value datarepresentative of a value associated with the object. Based on the valuedata and the dimension data, at element 808, the machine-readable mediumcan perform the operations comprising labeling the first objectidentification data, resulting in labeled data representative of theobject. Furthermore, in response to the labeling, at element 810, themachine-readable medium can perform the operations comprising, sendinglabeled data to a mobile device.

Referring now to FIG. 9, illustrated is a schematic block diagram of anexemplary end-user device such as a mobile device capable of connectingto a network in accordance with some embodiments described herein.Although a mobile handset 900 is illustrated herein, it will beunderstood that other devices can be a mobile device, and that themobile handset 900 is merely illustrated to provide context for theembodiments of the various embodiments described herein. The followingdiscussion is intended to provide a brief, general description of anexample of a suitable environment 900 in which the various embodimentscan be implemented. While the description includes a general context ofcomputer-executable instructions embodied on a machine-readable storagemedium, those skilled in the art will recognize that the innovation alsocan be implemented in combination with other program modules and/or as acombination of hardware and software.

Generally, applications (e.g., program modules) can include routines,programs, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Moreover, thoseskilled in the art will appreciate that the methods described herein canbe practiced with other system configurations, includingsingle-processor or multiprocessor systems, minicomputers, mainframecomputers, as well as personal computers, hand-held computing devices,microprocessor-based or programmable consumer electronics, and the like,each of which can be operatively coupled to one or more associateddevices.

A computing device can typically include a variety of machine-readablemedia. Machine-readable media can be any available media that can beaccessed by the computer and includes both volatile and non-volatilemedia, removable and non-removable media. By way of example and notlimitation, computer-readable media can comprise computer storage mediaand communication media. Computer storage media can include volatileand/or non-volatile media, removable and/or non-removable mediaimplemented in any method or technology for storage of information, suchas computer-readable instructions, data structures, program modules orother data. Computer storage media can include, but is not limited to,RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM,digital video disk (DVD) or other optical disk storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to store thedesired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions,data structures, program modules or other data in a modulated datasignal such as a carrier wave or other transport mechanism, and includesany information delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in the signal. By way of example,and not limitation, communication media includes wired media such as awired network or direct-wired connection, and wireless media such asacoustic, RF, infrared and other wireless media. Combinations of the anyof the above should also be included within the scope ofcomputer-readable media.

The handset 900 includes a processor 902 for controlling and processingall onboard operations and functions. A memory 904 interfaces to theprocessor 902 for storage of data and one or more applications 906(e.g., a video player software, user feedback component software, etc.).Other applications can include voice recognition of predetermined voicecommands that facilitate initiation of the user feedback signals. Theapplications 906 can be stored in the memory 904 and/or in a firmware908, and executed by the processor 902 from either or both the memory904 or/and the firmware 908. The firmware 908 can also store startupcode for execution in initializing the handset 900. A communicationscomponent 910 interfaces to the processor 902 to facilitatewired/wireless communication with external systems, e.g., cellularnetworks, VoIP networks, and so on. Here, the communications component910 can also include a suitable cellular transceiver 911 (e.g., a GSMtransceiver) and/or an unlicensed transceiver 913 (e.g., Wi-Fi, WiMax)for corresponding signal communications. The handset 900 can be a devicesuch as a cellular telephone, a PDA with mobile communicationscapabilities, and messaging-centric devices. The communicationscomponent 910 also facilitates communications reception from terrestrialradio networks (e.g., broadcast), digital satellite radio networks, andInternet-based radio services networks.

The handset 900 includes a display 912 for displaying text, images,video, telephony functions (e.g., a Caller ID function), setupfunctions, and for user input. For example, the display 912 can also bereferred to as a “screen” that can accommodate the presentation ofmultimedia content (e.g., music metadata, messages, wallpaper, graphics,etc.). The display 912 can also display videos and can facilitate thegeneration, editing and sharing of video quotes. A serial I/O interface914 is provided in communication with the processor 902 to facilitatewired and/or wireless serial communications (e.g., USB, and/or IEEE1394) through a hardwire connection, and other serial input devices(e.g., a keyboard, keypad, and mouse). This supports updating andtroubleshooting the handset 900, for example. Audio capabilities areprovided with an audio I/O component 916, which can include a speakerfor the output of audio signals related to, for example, indication thatthe user pressed the proper key or key combination to initiate the userfeedback signal. The audio I/O component 916 also facilitates the inputof audio signals through a microphone to record data and/or telephonyvoice data, and for inputting voice signals for telephone conversations.It should be noted that the microphone can be a digital or a non-digitalmicrophone. For example, if the microphone is digital, it can produceaudio data, however, the microphone can be non-digital and produce anaudio signal that can be digitized by an analog-to-digital converter toproduce the outputs for facilitation of the scenarios outlined in thisdisclosure.

The handset 900 can include a slot interface 918 for accommodating a SIC(Subscriber Identity Component) in the form factor of a card SubscriberIdentity Module (SIM) or universal SIM 920, and interfacing the SIM card920 with the processor 902. However, it is to be appreciated that theSIM card 920 can be manufactured into the handset 900, and updated bydownloading data and software.

The handset 900 can process IP data traffic through the communicationcomponent 910 to accommodate IP traffic from an IP network such as, forexample, the Internet, a corporate intranet, a home network, a personarea network, etc., through an ISP or broadband cable provider. Thus,VoIP traffic can be utilized by the handset 900 and IP-based multimediacontent can be received in either an encoded or decoded format.

A video processing component 922 (e.g., a camera) can be provided fordecoding encoded multimedia content. The video processing component 922can aid in facilitating the generation, editing and sharing of videoquotes. The handset 900 also includes a power source 924 in the form ofbatteries and/or an AC power subsystem, which power source 924 caninterface to an external power system or charging equipment (not shown)by a power I/O component 926.

The handset 900 can also include a video component 930 for processingvideo content received and, for recording and transmitting videocontent. For example, the video component 930 can facilitate thegeneration, editing and sharing of video quotes. A location trackingcomponent 932 facilitates geographically locating the handset 900. Asdescribed hereinabove, this can occur when the user initiates thefeedback signal automatically or manually. A user input component 934facilitates the user initiating the quality feedback signal. The userinput component 934 can also facilitate the generation, editing andsharing of video quotes. The user input component 934 can include suchconventional input device technologies such as a keypad, keyboard,mouse, stylus pen, and/or touch screen, for example.

Referring again to the applications 906, a hysteresis component 936facilitates the analysis and processing of hysteresis data, which isutilized to determine when to associate with the access point. Asoftware trigger component 938 can be provided that facilitatestriggering of the hysteresis component 938 when the Wi-Fi transceiver913 detects the beacon of the access point. A SIP client 940 enables thehandset 900 to support SIP protocols and register the subscriber withthe SIP registrar server. The applications 906 can also include a client942 that provides at least the capability of discovery, play and storeof multimedia content, for example, music.

The handset 900, as indicated above related to the communicationscomponent 910, includes an indoor network radio transceiver 913 (e.g.,Wi-Fi transceiver). This function supports the indoor radio link, suchas IEEE 802.11, for the dual-mode GSM handset 900. The handset 900 canaccommodate at least satellite radio services through a handset that cancombine wireless voice and digital radio chipsets into a single handhelddevice.

In order to provide additional context for various embodiments describedherein, FIG. 10 and the following discussion are intended to provide abrief, general description of a suitable computing environment 1000 inwhich the various embodiments of the embodiment described herein can beimplemented. While the embodiments have been described above in thegeneral context of computer-executable instructions that can run on oneor more computers, those skilled in the art will recognize that theembodiments can be also implemented in combination with other programmodules and/or as a combination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the disclosed methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, Internet of Things (IoT)devices, distributed computing systems, as well as personal computers,hand-held computing devices, microprocessor-based or programmableconsumer electronics, and the like, each of which can be operativelycoupled to one or more associated devices.

The illustrated embodiments of the embodiments herein can be alsopracticed in distributed computing environments where certain tasks areperformed by remote processing devices that are linked through acommunications network. In a distributed computing environment, programmodules can be located in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable storage media, machine-readable storage media,and/or communications media, which two terms are used herein differentlyfrom one another as follows. Computer-readable storage media ormachine-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media or machine-readablestorage media can be implemented in connection with any method ortechnology for storage of information such as computer-readable ormachine-readable instructions, program modules, structured data orunstructured data.

Computer-readable storage media can include, but are not limited to,random access memory (RAM), read only memory (ROM), electricallyerasable programmable read only memory (EEPROM), flash memory or othermemory technology, compact disk read only memory (CD-ROM), digitalversatile disk (DVD), Blu-ray disc (BD) or other optical disk storage,magnetic cassettes, magnetic tape, magnetic disk storage or othermagnetic storage devices, solid state drives or other solid statestorage devices, or other tangible and/or non-transitory media which canbe used to store desired information. In this regard, the terms“tangible” or “non-transitory” herein as applied to storage, memory orcomputer-readable media, are to be understood to exclude onlypropagating transitory signals per se as modifiers and do not relinquishrights to all standard storage, memory or computer-readable media thatare not only propagating transitory signals per se.

Computer-readable storage media can be accessed by one or more local orremote computing devices, e.g., via access requests, queries or otherdata retrieval protocols, for a variety of operations with respect tothe information stored by the medium.

Communications media typically embody computer-readable instructions,data structures, program modules or other structured or unstructureddata in a data signal such as a modulated data signal, e.g., a carrierwave or other transport mechanism, and includes any information deliveryor transport media. The term “modulated data signal” or signals refersto a signal that has one or more of its characteristics set or changedin such a manner as to encode information in one or more signals. By wayof example, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference again to FIG. 10, the example environment 1000 forimplementing various embodiments of the aspects described hereinincludes a computer 1002, the computer 1002 including a processing unit1004, a system memory 1006 and a system bus 1008. The system bus 1008couples system components including, but not limited to, the systemmemory 1006 to the processing unit 1004. The processing unit 1004 can beany of various commercially available processors. Dual microprocessorsand other multi-processor architectures can also be employed as theprocessing unit 1004.

The system bus 1008 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1006includes ROM 1010 and RAM 1012. A basic input/output system (BIOS) canbe stored in a non-volatile memory such as ROM, erasable programmableread only memory (EPROM), EEPROM, which BIOS contains the basic routinesthat help to transfer information between elements within the computer1002, such as during startup. The RAM 1012 can also include a high-speedRAM such as static RAM for caching data.

The computer 1002 further includes an internal hard disk drive (HDD)1014 (e.g., EIDE, SATA), one or more external storage devices 1016(e.g., a magnetic floppy disk drive (FDD) 1016, a memory stick or flashdrive reader, a memory card reader, etc.) and an optical disk drive 1020(e.g., which can read or write from a CD-ROM disc, a DVD, a BD, etc.).While the internal HDD 1014 is illustrated as located within thecomputer 1002, the internal HDD 1014 can also be configured for externaluse in a suitable chassis (not shown). Additionally, while not shown inenvironment 1000, a solid state drive (SSD) could be used in additionto, or in place of, an HDD 1014. The HDD 1014, external storagedevice(s) 1016 and optical disk drive 1020 can be connected to thesystem bus 1008 by an HDD interface 1024, an external storage interface1026 and an optical drive interface 1028, respectively. The interface1024 for external drive implementations can include at least one or bothof Universal Serial Bus (USB) and Institute of Electrical andElectronics Engineers (IEEE) 1394 interface technologies. Other externaldrive connection technologies are within contemplation of theembodiments described herein.

The drives and their associated computer-readable storage media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1002, the drives andstorage media accommodate the storage of any data in a suitable digitalformat. Although the description of computer-readable storage mediaabove refers to respective types of storage devices, it should beappreciated by those skilled in the art that other types of storagemedia which are readable by a computer, whether presently existing ordeveloped in the future, could also be used in the example operatingenvironment, and further, that any such storage media can containcomputer-executable instructions for performing the methods describedherein.

A number of program modules can be stored in the drives and RAM 1012,including an operating system 1030, one or more application programs1032, other program modules 1034 and program data 1036. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1012. The systems and methods described herein can beimplemented utilizing various commercially available operating systemsor combinations of operating systems.

Computer 1002 can optionally comprise emulation technologies. Forexample, a hypervisor (not shown) or other intermediary can emulate ahardware environment for operating system 1030, and the emulatedhardware can optionally be different from the hardware illustrated inFIG. 10. In such an embodiment, operating system 1030 can comprise onevirtual machine (VM) of multiple VMs hosted at computer 1002.Furthermore, operating system 1030 can provide runtime environments,such as the Java runtime environment or the .NET framework, forapplications 1032. Runtime environments are consistent executionenvironments that allow applications 1032 to run on any operating systemthat includes the runtime environment. Similarly, operating system 1030can support containers, and applications 1032 can be in the form ofcontainers, which are lightweight, standalone, executable packages ofsoftware that include, e.g., code, runtime, system tools, systemlibraries and settings for an application.

Further, computer 1002 can be enable with a security module, such as atrusted processing module (TPM). For instance with a TPM, bootcomponents hash next in time boot components, and wait for a match ofresults to secured values, before loading a next boot component. Thisprocess can take place at any layer in the code execution stack ofcomputer 1002, e.g., applied at the application execution level or atthe operating system (OS) kernel level, thereby enabling security at anylevel of code execution.

A user can enter commands and information into the computer 1002 throughone or more wired/wireless input devices, e.g., a keyboard 1038, a touchscreen 1040, and a pointing device, such as a mouse 1042. Other inputdevices (not shown) can include a microphone, an infrared (IR) remotecontrol, a radio frequency (RF) remote control, or other remote control,a joystick, a virtual reality controller and/or virtual reality headset,a game pad, a stylus pen, an image input device, e.g., camera(s), agesture sensor input device, a vision movement sensor input device, anemotion or facial detection device, a biometric input device, e.g.,fingerprint or iris scanner, or the like. These and other input devicesare often connected to the processing unit 1004 through an input deviceinterface 1044 that can be coupled to the system bus 1008, but can beconnected by other interfaces, such as a parallel port, an IEEE 1394serial port, a game port, a USB port, an IR interface, a BLUETOOTH®interface, etc.

A monitor 1046 or other type of display device can be also connected tothe system bus 1008 via an interface, such as a video adapter 1048. Inaddition to the monitor 1046, a computer typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1002 can operate in a networked environment using logicalconnections via wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1050. The remotecomputer(s) 1050 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentappliance, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer1002, although, for purposes of brevity, only a memory/storage device1052 is illustrated. The logical connections depicted includewired/wireless connectivity to a local area network (LAN) 1054 and/orlarger networks, e.g., a wide area network (WAN) 1056. Such LAN and WANnetworking environments are commonplace in offices and companies, andfacilitate enterprise-wide computer networks, such as intranets, all ofwhich can connect to a global communications network, e.g., theInternet.

When used in a LAN networking environment, the computer 1002 can beconnected to the local network 1054 through a wired and/or wirelesscommunication network interface or adapter 1058. The adapter 1058 canfacilitate wired or wireless communication to the LAN 1054, which canalso include a wireless access point (AP) disposed thereon forcommunicating with the adapter 1058 in a wireless mode.

When used in a WAN networking environment, the computer 1002 can includea modem 1060 or can be connected to a communications server on the WAN1056 via other means for establishing communications over the WAN 1056,such as by way of the Internet. The modem 1060, which can be internal orexternal and a wired or wireless device, can be connected to the systembus 1008 via the input device interface 1044. In a networkedenvironment, program modules depicted relative to the computer 1002 orportions thereof, can be stored in the remote memory/storage device1052. It will be appreciated that the network connections shown areexample and other means of establishing a communications link betweenthe computers can be used.

When used in either a LAN or WAN networking environment, the computer1002 can access cloud storage systems or other network-based storagesystems in addition to, or in place of, external storage devices 1016 asdescribed above. Generally, a connection between the computer 1002 and acloud storage system can be established over a LAN 1054 or WAN 1056e.g., by the adapter 1058 or modem 1060, respectively. Upon connectingthe computer 1002 to an associated cloud storage system, the externalstorage interface 1026 can, with the aid of the adapter 1058 and/ormodem 1060, manage storage provided by the cloud storage system as itwould other types of external storage. For instance, the externalstorage interface 1026 can be configured to provide access to cloudstorage sources as if those sources were physically connected to thecomputer 1002.

The computer 1002 can be operable to communicate with any wirelessdevices or entities operatively disposed in wireless communication,e.g., a printer, scanner, desktop and/or portable computer, portabledata assistant, communications satellite, any piece of equipment orlocation associated with a wirelessly detectable tag (e.g., a kiosk,news stand, store shelf, etc.), and telephone. This can include WirelessFidelity (Wi-Fi) and BLUETOOTH® wireless technologies. Thus, thecommunication can be a predefined structure as with a conventionalnetwork or simply an ad hoc communication between at least two devices.

The computer is operable to communicate with any wireless devices orentities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, any piece of equipment or locationassociated with a wirelessly detectable tag (e.g., a kiosk, news stand,restroom), and telephone. This includes at least Wi-Fi and Bluetooth™wireless technologies. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from acouch at home, a bed in a hotel room, or a conference room at work,without wires. Wi-Fi is a wireless technology similar to that used in acell phone that enables such devices, e.g., computers, to send andreceive data indoors and out; anywhere within the range of a basestation. Wi-Fi networks use radio technologies called IEEE 802.11 (a, b,g, etc.) to provide secure, reliable, fast wireless connectivity. AWi-Fi network can be used to connect computers to each other, to theInternet, and to wired networks (which use IEEE 802.3 or Ethernet).Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, atan 11 Mbps (802.11a) or 54 Mbps (802.11b) data rate, for example, orwith products that contain both bands (dual band), so the networks canprovide real-world performance similar to the basic 10 BaseT wiredEthernet networks used in many offices.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the subject matter has been described herein inconnection with various embodiments and corresponding FIGs, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

What is claimed is:
 1. A method, comprising: receiving, by a serverdevice comprising a processor, a first signal from a network, whereinthe first signal is representative of first object identification dataof an identification of an object in a set of objects; receiving, by theserver device, a second signal from the network, wherein the secondsignal is representative of utilization data associated with autilization of the object; in response to receiving the second signal,generating, by the server device, sentimental value data representativeof a sentimental value associated with the object; in response toreceiving a marketplace value for the object, comparing, by the serverdevice, the sentimental value to the marketplace value, and generatingrecommendation data representative of recommendation associated with theobject based on the comparing; and sending, by the server device via thenetwork, a third signal representative of the sentimental value data andthe recommendation data to a mobile device.
 2. The method of claim 1,wherein the utilization data comprises sensor data representative of aphysical value determined by a sensor of the object, the physical valueindicating the utilization of the object.
 3. The method of claim 2,wherein the sentimental value associated with is a function of theutilization of the object.
 4. The method of claim 2, wherein the sensorcomprises at least one of a motion sensor, a pressure sensor, or a lightsensor.
 5. The method of claim 4, wherein a motion sensed by the motionsensor indicates the utilization of the object.
 6. The method of claim4, wherein a physical pressure sensed by the pressure sensor indicatesthe utilization of the object.
 7. The method of claim 4, wherein a lightsensed by the light sensor indicates the utilization of the object.
 8. Asystem, comprising: a processor; and a memory that stores executableinstructions that, when executed by the processor, facilitateperformance of operations, comprising: receiving first objectidentification data representative of an identification of an object ofa group of objects; receiving utilization data representative of autilization of the object; based on the utilization data, generating,according to a valuation process, value data representative of a valueassociated with the object; based on the value data; categorizing thefirst object identification data with second object identification datarepresentative of the group of objects, resulting in a defined category,and generating recommendation data representative of a recommendationassociated with the object, wherein the recommendation is associatedwith a first location to which the object is to be transported based ona second location that is a current location of the object; and sendingthe recommendation data and defined category data representative of thedefined category to a mobile device.
 9. The system of claim 8, whereinthe recommendation is one of to sell the object, to keep the object, todonate the object, or to discard the object.
 10. The system of claim 8,wherein the value associated with the object is a function of theutilization of the object.
 11. The system of claim 8, wherein the valueis a sentimental value, and wherein the operations further comprise: inresponse to receiving a marketplace value for the object, comparing thesentimental value to the marketplace value.
 12. The system of claim 11,wherein the operations further comprise: in response to comparing thesentimental value to the marketplace value, generating therecommendation data, wherein the recommendation is one of to sell theobject or to keep the object.
 13. A non-transitory machine-readablemedium, comprising executable instructions that, when executed by aprocessor, facilitate performance of operations, comprising: receivingfirst object identification data representative of an identification ofan object of a group of objects; receiving utilization datarepresentative of a utilization of the object; receiving dimension datarepresentative of a physical dimension of the object; based on theutilization data, generating value data representative of a valueassociated with the object; based on the value data and the dimensiondata; labeling the first object identification data, resulting inlabeled data representative of the object, and generating recommendationdata representative of a recommendation associated with the object,wherein the recommendation is associated with a first location to whichthe object is to be transported based on a second location that is acurrent location of the object; and sending the recommendation data andthe labeled data to a mobile device.
 14. The non-transitorymachine-readable medium of claim 13, wherein the dimension data isfurther representative of the current location.
 15. The non-transitorymachine-readable medium of claim 14 wherein the operations furthercomprise: receiving potential location data representative of the firstlocation, different from the current location, to which the object is tobe potentially transported.
 16. The non-transitory machine-readablemedium of claim 15, wherein the operations further comprise: in responseto receiving the potential location data, comparing the the currentlocation to the first location.
 17. The non-transitory machine-readablemedium of claim 16, wherein the operations further comprise: in responseto the comparing, generating the recommendation data.
 18. Thenon-transitory machine-readable medium of claim 17, wherein the objectis a first object, and wherein the recommendation is associated with apotential purchase of a second object for the first location.
 19. Thenon-transitory machine-readable medium of claim 13, wherein therecommendation is one of sell the object, keep the object, donate theobject, or discard the object.
 20. The non-transitory machine-readablemedium of claim 13, wherein the value associated with the object isdetermined as a function of the utilization of the object.